Effect evaluation and influencing factors analysis of farmers'income structure optimization in China under the goal of common prosperity
Combined with the goal of common prosperity,this study constructs an evaluation index system for farmers' income structure optimization from five aspects:economic development,political foundation,social development,cultural development,and ecological environment.It also uses the entropy weight-TOPSIS model to comprehensively evaluate the effect of farmers' income structure optimization in 30 provinces(except Hong Kong,Macao,Taiwan and Xizang)in China from 2011 to 2020.Then,the article further uses cluster analysis method to analyze the subsystems and Tobit model to explore the main factors affecting farmers'income structure optimization.The results show that the overall effect of farmers' income optimization structure in China's is at a relatively low level,with obvious differences among regions.The two subsystems,i.e.economic development and social develop-ment,are developing more coherently as a whole.However,there are significant differences among the provinces in terms of the three subsystems of political foundation,cultural development and ecological environment.It is also found that farmers' income structure optimization is significantly influenced by the level of integrated development of rural primary,secondary and tertiary industries,the development level of the rural collective economy,the level of digital infrastructure,the level of urbanization,the level of access to education,the level of scientific and technological development of agriculture,and the level of economic develop-ment.Accordingly,suggestions are put forward to accelerate the integrated development of primary,secondary and tertiary industries in rural areas,vigorously develop rural collective economy,improve farmers'education level,increase the investment in agricultural science and technology,and develop regional cooperation.
common prosperityincome structure optimizationeffect evaluationinfluencing factor
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NSTL
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